ライフサイエンスコーパス: modelling

1 om the conclusions of conventional diffusion modelling.

2 geographical extensions of social influence modelling.

3 eam infection using Cox proportional hazards modelling.

4 ution environmental layers and computational modelling.

5 due to current limitations of monitoring and modelling.

6 BP1 and OBP47) were analysed using in silico modelling.

7 tion (wealth) using Cox proportional hazards modelling.

8 and global cellular constrains in predictive modelling.

9 scopy, atom probe tomography and phase field modelling.

10 mbined with bioinformatics and computational modelling.

11 (GP) practices into account using multilevel modelling.

12 n force fields for next-generation materials modelling.

13 , restoration, biogeography and earth system modelling.

14 nge of supply constraints using mathematical modelling.

15 and time period by use of age-period-cohort modelling.

16 abolism was determined using two-compartment modelling.

17 Numerical simulation, analytical modelling, additive layer manufacturing (3D printing) an

18 We conclude that both the modelling algorithms and community data need to be caref

19 ors at higher SSC are not fully explained by modelling alone.

20 We used environmental niche modelling along with the best available species occurren

21 Modelling also revealed that Gln4p depletion causes nega

22 c interdependence, we performed a multilevel modelling analysis.

23 subcellular localization, reaction-diffusion modelling and a spatially resolved promoter activation a

24 Networks are largely used for modelling and analysing a wide range of biological data.

25 al and motor phenotyping alongside molecular modelling and analysis of binding partners.

26 ficant computational support for the design, modelling and analysis of DNA nanostructures.

27 compounds 1-5 was investigated by molecular modelling and by studying in solution their speciation w

28 Herein, we review learnings from preclinical modelling and clinical studies relating to the GvT effec

29 three approaches-bioinformatics, analytical modelling and computational simulation-to understand the

30 Here, we combine mathematical modelling and data from eleven bipartite plant-pollinato

31 Computational advances in protein modelling and design can have a tangible impact on antib

32 The Papillomavirus Rapid Interface for Modelling and Economics (PRIME) has been used around the

33 Stochastic modelling and experimental data demonstrated the feedbac

34 ater at 200-300 kHz, via both finite element modelling and experimental measurements, but it can be e

35 Computational modelling and experimental observation of the inverse di

36 evoted to the comparison between a numerical modelling and experimental results; however, little atte

37 upported by both rigorous multilayer optical modelling and first-principle ab initio calculations.

38 Here we use behavioural modelling and functional magnetic resonance imaging to d

39 ansmission electron microscopy, mathematical modelling and genetic manipulation to visualize and anal

40 surveys and supported by detailed numerical modelling and high resolution video settling velocity me

41 Modelling and immunopeptidome analysis delineate how dru

42 e lines, together with analysis of molecular modelling and interacting proteins, suggest that the D25

43 Modelling and molecular dynamics simulations were fully

44 Computational modelling and multivariate analyses identify a frontostr

45 Analysis of multiple cryo EM maps, further modelling and mutagenesis provide working models for the

46 Yet, during modelling and optimization of these devices, as well as

47 d behavioural psychophysics, spiking-circuit modelling and pharmacological manipulations to explore d

48 urces in the hospital, using auto-regressive modelling and pole cancellation.

49 We take advantage of computational modelling and recent advances in state-trace analysis to

50 e studies of human skin development, disease modelling and reconstructive surgery.

51 Here we show, based on detailed theoretical modelling and rigorous simulations, that it should be po

52 Modelling and simulations have shown that small GTPases

53 Using analytical modelling and simulations, we show that they cause oppos

54 f this alpha-proteobacterium using metabolic modelling and the functional integration of genomic and

55 em cells into RPE cells suitable for disease modelling and therapy development.

56 lopment investigation, drug testing, disease modelling, and examining novel cellular replacement ther

57 ally overlapping phenotypes using a bifactor modelling approach and estimated heritability for their

58 esilience quantified using a latent variable modelling approach and representing better-than-predicte

59 Global extrapolation with an empirical modelling approach estimated that contemporary N additio

60 spring survival and growth using an additive modelling approach on 21 years of individual-based recor

61 We propose a modelling approach that combines four computational tech

62 We use a modelling approach that considers among-season dormancy

63 e derives from our well-established mutation modelling approach that uses graph-based signatures to m

64 Here we use an integrated performance modelling approach to make an initial techno-economic as

65 We applied an ensemble forecasting niche modelling approach to project the climatic suitability o

66 Here we use a modelling approach to reconstruct the full-spectrum dyna

67 Here, using a process based, integrative, modelling approach to upscale from existing observations

68 Here we use a recently developed trajectory modelling approach(7) that is designed to isolate secula

69 to inform a Bayesian geostatistical ensemble modelling approach, generating fine-scale predictive map

70 nol (EtOH) as a cosolvent, while a numerical modelling approach, the central composite design (CCD),

71 Using an inverse modelling approach, we determined the krill population s

72 Taking a mathematical modelling approach, we investigate how tumour properties

73 unravelled by means of multiresponse kinetic modelling approach.

74 crop data, or use of dynamic crop simulation modelling approach.

75 re described individually via an agent-based modelling approach.

76 Comprehensive and regularly updated modelling approaches accounting for diversity within the

77 Computational modelling approaches are seen as a way forward to elucid

78 we examine the theory behind DBA and employ modelling approaches to assess factors that affect the l

79 identified, we advocate for process-oriented modelling approaches, informed by observations and with

80 genetic comparative methods and evolutionary modelling approaches, we modelled mass changes in seed c

81 t traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific

82 In contrast, modelling arms races involving multiple traits, we found

83 aws of each quantity and attempt to describe modelling as well as sampling error.

84 he sensitivity of the results to alternative modelling assumptions.

85 s incompressible steady flow with turbulence modelling based on the system Reynolds number at the ori

86 ions are essential input for the geophysical modelling but are poorly constrained experimentally.

87 tion planning and ecosystem service delivery modelling can be used to solve land-use conflicts and id

88 nstrate that population-level dynamic causal modelling can disclose a core pathophysiological feature

89 High-dimensional multivariate modelling can overcome these defects, but only at the co

90 fety level 4 facilities for experimentation, modelling can play a crucial role.

91 r systems biology approaches for mapping and modelling cancer pathways with attention to how well the

92 itial results indicate that this approach to modelling cardiomyopathies will continue to provide crit

93 e exposed to, with the aim of experimentally modelling changes to bean components (responses).

94 ms were obtained using latent growth mixture modelling, cognitive decline was assessed using smoothin

95 Here we show results of a modelling competition, where 19 numerical models (a mix

96 Research-coordinated approaches (e.g., modelling competitions) can fuel advances in predictive

97 We illustrate the modelling concept with a case study on the role of root

98 Quantitative modelling confirms the plausibility of this mechanism.

99 The WHO Cervical Cancer Elimination Modelling Consortium (CCEMC) involves three independent,

100 The WHO Cervical Cancer Elimination Modelling Consortium (CCEMC), which consists of three in

101 Geochemical reactive transport modelling, constrained by elemental budgets, indicated C

102 ombination of bioinformatics-based structure modelling, Cu(2+) ion docking, and MD simulations of pep

103 ng the images into image analytics to form a modelling dataset; and (iii) constructing predictive mod

104 Ks and PDs in humans, and in vitro PK and PD modelling does not provide quantitative PK parameters.

105 s(6) of 0.7 or higher) for 24 out of 43 free modelling domains, whereas the next best method, which u

106 holds much promise as a platform for disease modelling, drug development and regenerative therapies.

107 Ebola virus modelling efforts have primarily focused on in vivo viru

108 es of photosynthetic capacity in large scale modelling efforts uses a modified Arrhenius equation.

109 and multivariable binary logistic regression modelling explored brachycephaly as a risk factor for ea

110 12 years were estimated based on predefined modelling extrapolations.

111 ical model and substantiate iPSC-neurons for modelling fAD.

112 n and design process, we used stoichiometric modelling (FBA, pFBA, FVA and MOMA) and the Escherichia

113 Multi-colour extrusion fused deposition modelling (FDM) can be used to create 3D prostate cancer

114 thin films for strain mapping; multiphysics modelling for analysing the nonlinear mechanical interac

115 lows submission of models encoded in diverse modelling formats, including SBML, CellML, PharmML, COMB

116 This simple modelling framework can help countries to assess the pro

117 The study provides a robust modelling framework for the rational design of synthetic

118 ed data on human movement(4,5), we develop a modelling framework that uses daily travel networks to s

119 We used an occupancy modelling framework to determine how well ALAN accounted

120 We provide a general modelling framework to jointly infer infection histories

121 climatic and topographic data in an ensemble modelling framework to obtain spatial projections for pr

122 l systems and integrate them into a cohesive modelling framework to show how blood clotting may be co

123 We explore the capabilities of the modelling framework with the LAF-1 RGG system which has

124 Using a conservative modelling framework, we confirm that host phylogenetic s

125 of habitat within a hierarchical state-space modelling framework.

126 a voxel-wise whole-brain structural equation modelling framework.

127 ic discard rates estimated within a Bayesian modelling framework.

128 Solute transport modelling further demonstrates how increases in the impo

129 Population pharmacokinetic modelling generated estimates of drug exposure (Cmax and

130 Here, using computational modelling, genetic manipulations and biophysical measure

131 In plants, mathematical modelling has been comprehensively integrated with exper

132 Modelling has shown that the Baldwin effect offers a pla

133 Mathematical modelling has successfully been used to provide quantita

134 Metabolic modelling has the potential to provide insights into the

135 zero-order rates, empirical and theoretical modelling have been extensively employed and evaluated.

136 on the least-cost optimality hypothesis for modelling historical changes in chi over the 1951-2014 p

137 redictions using phylogenetic path analysis, modelling hypothesized direct and indirect relationships

138 erous application, e.g. for the experimental modelling in a lab of natural processes.

139 ive to the host often impedes their accurate modelling in crystal structures.

140 Google Scholar among the scientists who use modelling in their research.

141 solution is a Modular Platform for Epilepsy Modelling In Vitro (MEMO), a lab-on-chip device, in whic

142 Sequence analysis and homology modelling indicate that Rv2509 belongs to the short-chai

143 -crystal X-ray diffraction and computational modelling indicate that the isostructural La member crys

144 Behavioural computational modelling indicated that precision weighting of predicti

145 In silico modelling indicates altered metabolic fluxes (Krebs cycl

146 However, mineral speciation modelling indicates that changes in stream pH and hydrau

147 In this special collection, modelling insights are used to highlight drivers of loca

148 f omics data; representation - the iterative modelling, integration and visualization of complex data

149 ng the last millennium, and the Paleoclimate Modelling Intercomparison Project (PMIP) Phase 3 Last Mi

150 Modelling involves identifying typhoon track vectors, cl

151 Scenario-based biodiversity modelling is a powerful approach to evaluate how possibl

152 yer, but we found that Lagrangian stochastic modelling is effective at predicting flight manoeuvers i

153 Whilst mathematical modelling is well established in informing biological sy

154 Computer modelling is widely used in the design of scientific ins

155 om animal models, and associated theoretical modelling, it is demonstrated that inter-hemispheric pro

156 MAPER was better than FreeSurfer at modelling manual segmentations in the healthy control le

157 Dialysate cooling and sodium modelling may prevent haemodynamic instability and facil

158 and successfully validated against physical modelling measurements.

159 possesses significant potential as a robust modelling method for designing synthetic gene circuits.

160 methods were clinically similar, the optimal modelling method may be selected based on the parsimony

161 of data, the knowledge of robust data-driven modelling methods professed within the QSAR field can be

162 ven that the predictive accuracy of all four modelling methods were clinically similar, the optimal m

163 esent VERDICT model was less appropriate for modelling more diffuse astrocytomas and oligodendrogliom

164 n: (i) the importance of g(m) for accurately modelling net rates of CO(2) assimilation, (ii) on how l

165 (3D) cultures and tested their potential for modelling neural insults, including hypoxic-ischaemic an

166 Here, we demonstrate that the dynamic causal modelling neuronal state equation generalises to a Fokke

167 inhibition phenotype, derived from bi-factor modelling of 33 impulsive and compulsive problem behavio

168 ge of the Ngandong evidence, we use Bayesian modelling of 52 radiometric age estimates to establish-t

169 In vitro modelling of ADE has attributed enhanced pathogenesis to

170 ne evolutionary game theory with agent-based modelling of bacterial tit-for-tat, whereby cells stab r

171 atasets using (data-driven) soft independent modelling of class analogies and (orthogonal) projection

172 efficient (99-100%, except soft independent modelling of class analogy with 97%) and correct classif

173 Computational modelling of clonal dynamics indicates that high genetic

174 Modelling of disease-associated changes in gene expressi

175 ng as a single homogeneous process, and that modelling of distinct patterns of structural and functio

176 esent Adenita, a novel software tool for the modelling of DNA nanostructures in a user-friendly envir

177 Modelling of dominant serotype colonization data produce

178 formation capture coupled with probabilistic modelling of experimental noise to resolve 88 strain-lev

179 Metabolically-constrained modelling of food-web dynamics based on whole-organism c

180 rodes as derived from the equivalent-circuit modelling of full-range impedance spectra.

181 s such as macro-parasitic diseases, detailed modelling of human behaviour and pathogen life-cycle are

182 d manipulations, laboratory experiments, and modelling of insect and vegetation dynamics, and focuses

183 Linear modelling of our time-series data revealed that the vari

184 e based on reaction-transport biogeochemical modelling of porewater sulfate profiles.

185 Mathematical modelling of real complex networks aims to characterize

186 ional annotations and genome-scale metabolic modelling of selected species were then employed to iden

187 It could also allow cellular modelling of the combined risk.

188 Biophysical modelling of the diffusion MRI signal permits monitoring

189 zed increase in herpes zoster predicted from modelling of the exogenous boosting hypothesis was not o

190 Analytical modelling of the experimental data, based on Hill-Langmu

191 er-derived cell lines are widely used in the modelling of the gastrointestinal (GI) absorption of dru

192 Experimental modelling of the pathogenic human mutations showed these

193 Geochemical modelling of the speciation of oxalates and phosphates i

194 In addition, the modelling of the transport of TMNP in the tumour exhibit

195 Numerical modelling of the uptake of gold nanoparticle into U373MG

196 ich was hitherto not considered in numerical modelling of these sources.

197 onitoring of cancer clones, and mathematical modelling of tumour evolution.

198 different spatial scales and is confirmed by modelling of two predator vision systems.

199 ities for preventative action and predictive modelling of vector borne disease risks in relation to d

200 tion-of-state relations that are used in the modelling of white dwarfs and inertial confinement fusio

201 Here, we combined structural modelling of ZAR1, with molecular and functional assays

202 ggest that patient-specific neuronal disease modelling offers a useful platform for discovering preci

203 Here we use computational modelling, optical recordings and manipulations to probe

204 Supported by mathematical modelling, our results establish that multiple memristiv

205 The modelling process is explained in detail, and a learning

206 dy tested whether community data may improve modelling rare species by sharing information among comm

207 selected in order to deliver improvement in modelling rare species.

208 Modelling, restricted to the DC component, showed good a

209 Modelling results show substantial covariation across ta

210 However, modelling results suggest that the majority of the OFG w

211 ssed with respect to the available atomistic modelling results.

212 ut has not incorporated detailed subcellular modelling RESULTS: We present a framework that allows th

213 Mechanistic and quantitative modelling revealed new insights in disease including: ch

214 Structural equation modelling revealed that cerebrovascular risk is associat

215 In both types of judgment, computational modelling revealed that reward information and sensorimo

216 Furthermore, circuit-level modelling reveals that PV-iLTD and SST-iLTP cooperate to

217 Numerical modelling reveals that this modulation is due to a modif

218 Via statistical modelling, several characteristics in the polyphenolic s

219 and hubs, alternative forms of computational modelling should be used iteratively to define the physi

220 Within-mother modelling showed a null association with intervals of 24

221 Furthermore, modelling showed that increased with measurement tempera

222 Diffusion modelling showed that the speed of information processin

223 Modelling showed that the variability in age at onset an

224 In vivo experiments and modelling showed that this immune spatial polarization w

225 Multilevel modelling showed that women showed significant individua

226 Our modelling shows that a massive collapse of terrestrial e

227 Mathematical modelling shows that amplifications also tune gene expre

228 Modelling shows that the design is insensitive to MIEC m

229 Our modelling shows tit-for-tat retaliation is a surprisingl

230 rn environments, pore water geochemistry and modelling simulations allow the study of methane (CH(4))

231 otential distribution, estimated with MaxEnt modelling software, is mainly centered in subtropical re

232 We then develop a new framework for modelling soil structure dynamics, which is designed to

233 importance of including indirect effects in modelling species distributions in response to climate c

234 The modelling strategy addressed the causal association betw

235 The integrative disease-modelling strategy may reveal new insights into mechanis

236 eading of degeneration, we used a predictive modelling strategy that tests whether baseline grey matt

237 We then applied our predictive modelling strategy to an exploratory whole-brain voxel-w

238 Morphological, photoemission, and modelling studies show that boundaries between alpha-6T

239 In particular, modelling studies suggest that in order to achieve the g

240 ases in ways that provide insight for future modelling studies.

241 In this mathematical modelling study of perinatal hepatitis B transmission an

242 In this modelling study, we assessed the probability of eliminat

243 In this modelling study, we developed Markov models of HIV and s

244 In this economic modelling study, we used a dynamic HIV transmission mode

245 In this modelling study, we used age-stratified and stage-strati

246 In this national population-based modelling study, we used linked English National Health

247 Our modelling suggests an ice mass flow rate of ~5 x 10(6) k

248 Mathematical modelling suggests that the probability of remission for

249 Modelling supports the idea that widespread marine anoxi

250 e development of new molecular tools, tumour modelling systems and precise instrumentation together w

251 ltant improvements of bottom-up, mechanistic modelling systems can enhance progress towards capturing

252 arios in Haiti through simulations from four modelling teams.

253 There is currently a dearth of modelling techniques which allow one to delve deeper int

254 The current approach to modelling temperature responses of photosynthetic capaci

255 escribe tools from geostatistics and spatial modelling that can improve inference about the associati

256 ften requires experimental interventions and modelling that can only be performed in model systems.

257 nds AMP in vitro, consistent with structural modelling that identifies an AMP-binding interface betwe

258 Here we show, through mathematical modelling, that the patterns of dominant SpnIII alleles

259 ng a novel technique-spectral dynamic causal modelling-that estimates the effective connectivity betw

260 In a 78-d study modelling the deployment of a rapid response to an outbr

261 We developed a framework for modelling the effect of motivation on choice and learnin

262 odide perovskite layer was used as basis for modelling the efficacy of the mechanism as a function of

263 Modelling the hemodynamic response to a rich natural sou

264 alised vaginal epithelial cells (VK2 E6/E7), modelling the vaginal epithelium were treated with eithe

265 ated high-accuracy structures (with template modelling (TM) scores(6) of 0.7 or higher) for 24 out of

266 n of scanning probe microscopy and molecular modelling to demonstrate that inhibitor pairs, whose con

267 We used piecewise structural equation modelling to determine direct and indirect relationships

268 We also used computational modelling to examine the aversive subjective value of ef

269 halography (MEG) with behavioural and neural modelling to identify alterations in post-decisional pro

270 We used group-based trajectory modelling to identify viral load trajectory groups in th

271 We combined behavioural manipulation and modelling to investigate the dynamics of memory formatio

272 to nano-dosimetric radiation track structure modelling to predict quantities and distribution of DNA

273 distributed lakes and used empirical dynamic modelling to quantify interaction strengths between zoop

274 flection and borehole data with hydrological modelling to quantitatively characterise a previously un

275 n zone high-pressure rocks and thermodynamic modelling to show that deep serpentinization (40-80 km)

276 Here, we use modelling to study how HGT of slightly beneficial genes

277 single-cell RNA sequencing and computational modelling to track memory development during Plasmodium

278 e compounds using transient spectroscopy and modelling to unravel the singlet and triplet dynamics.

279 nescence measurements, combined with kinetic modelling, to show that distinct (1)(TT) emission arises

280 key areas in which an appropriate choice of modelling tool could help capture relevant comparative m

281 The customisable and portable modelling tool that we have developed allows managers to

282 The Hidden Markov Model is useful for modelling transitions across multimorbidity patterns and

283 When modelling trauma exposure as an environmental influence

284 nt sources, we applied the MixSIAR un-mixing modelling under a Bayesian framework.

285 ults of every 8 weeks dosing, and supportive modelling, underpin further evaluation of every 8 weeks

286 Modelling vegetation responses to changes in rainfall is

287 alternative control solutions and population modelling was adopted for the sustainable management of

288 Regression modelling was used for a statistical analysis.

289 Survival modelling was used to estimate age-specific mortality ra

290 Using neurocomputational modelling we show that recalibration of natural speech s

291 ollectively referred to as empirical dynamic modelling), we identified drivers and their interactive

292 Using statistical mechanical modelling, we describe here how multivalency can be expl

293 Using computational modelling, we found convergent evidence across stable an

294 Using data-based geospatial modelling, we investigated whether these two factors are

295 Using drug-disease network perturbation modelling, we predict targetable pathways, whose modulat

296 Using mathematical modelling, we propose that the BotC network organization

297 er kinematics and Bayesian pattern component modelling, we show that CoM-specific pattern distances i

298 neering, real-time imaging and computational modelling, we show that gene pairing boosts correlated t

299 Using structural equation modelling, we tested the pre-registered hypothesis that

300 uding principal component analysis and mixed modelling with a random effect for a genetic relationshi